Early warning for the conditions India actually carries, validated here.
Analytics · Full PHI · Every specialtyLocally-validated risk prediction for high-burden Indian conditions — maternal risk, TB, diabetic deterioration, cardiac risk — surfacing early-warning scores with visible reasoning through the AI gateway’s governance: named model versions that never silently swap, human decision gates on every high-risk call, and audit to the token.
It does not act on its own score — a person accepts or rejects every flag, and the model version is pinned and public.
Every app page carries this section. A listing with only benefits is an advertisement.RiskLens reads observations, conditions, lab results and writes risk scores, flags for review. Its data class is Full PHI. Every app works on the same patient record — nothing is copied into a silo.
It does not act on its own score — a person accepts or rejects every flag, and the model version is pinned and public.
Every record stays; only the workflow leaves.
RiskLens is in design: the surface exists and the platform underneath is ready. Join the waitlist and it moves up the build order.